Training Course on Epidemiology and Biostatistics With STATA

 Organizer: KINCAID DEVELOPMENT CENTER 
Course fee: USD 1000

INTRODUCTION

This course is intended for medical researchers who would like to enhance their skills on epidemiological data analysis being familiarized with Stata. It will equip the trainees with skills necessary in the data analysis especially using Stata. The course will mostly involve practical work as the trainees will always have their hand on the laptop and the Stata application simultaneously.

Participants who successfully complete the course will receive a Certificate of Participation.

OBJECTIVES

By the end of the course, the participant should be able to;

·         Run epidemiological analysis using stata

·         Report appropriately the results supplied by the stata

·         Clearly understand the concepts of additivity, confounding, independence, and interaction in the context of logistical model

·         Clean data, combine data files, and carry out basic data analysis

·         Produce descriptive statistics, calculating confidence intervals, hypothesis testing and calculating odds ratios and relative risks

DURATION

 5 days

WHO SHOULD ATTEND?

The course is intended for researchers, physicians, clinicians, public health professionals, epidemiologists and biostatisticians, from public and private institutions who need to apply meta-analysis.

COURSE OUTLINE

Principles of Epidemiology

·         Introduction to epidemiologic thinking

·         Sufficient/component cause theory of disease

·         Hill’s causal criteria

·         Logic and errors

·         Effect measures

·         Study designs

·         Randomization using Excel

·         Bias and confounding

·         Random error and statistics

·         Crude analysis

·         Stratified analysis

·         Standardization

·         Sensitivity (bias) analysis

·         Case-cohort study design

Biostatistics

·         Logic of significance tests

·         Choice of significance test

·         Comparison of two independent groups

·         Basics of power analysis

·         More on levels of measurement

·         Comparison of two paired groups

·         Multiplicity and the Comparison of 3+ Groups

·         Correlation

·         Linear regression

·         Logistic regression and dummy variables

·         Survival analysis: Kaplan-Meier graphs, Log-rank Test, and Cox regression

·         Confidence intervals versus p values and trends toward significance

·         Pearson correlation coefficient with clustered data

·         Equivalence and non-inferiority tests

·         Validity and reliability

·         Bland-Altman analysis

·         One sample tests

GENERAL NOTES

·         The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

·         The participants should be reasonably proficient in English as all facilitation and course materials will be offered in English.

·         Upon successful completion of this training, participants will be issued with a certificate.

·         The training will be held at Kincaid Training Centre. The course fee covers the course tuition, training materials, two break refreshments and lunch.

·         All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

·         Accommodation and airport pickup are arranged upon request.

·         This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our Kincaid Training Centre or at a convenient location. 

Payments are due upon registration.